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Discrete Least Squares Approximations for Ordinary Differential Equations
SIAM Journal on Numerical Analysis, 1978The application of the least squares method, using $C^q $ piecewise polynomials of order $k + m,k \geqq m,q \geqq m$, for obtaining approximations to an isolated solution of a nonlinear mth order ordinary differential equation, involves integrals which in practice need to be discretized.
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The Existence of Moments of the Ordinary Least Squares and Two-Stage Least Squares Estimators
Econometrica, 1972This paper deals with two single-equation estimators in a set of simultaneous linear stochastic equations--namely, ordinary least squares (OLS) and two-stage least squares (2SLS). Under the assumption that all predetermined variables in the model are exogenous, necessary and sufficient conditions are obtained for the existence of even moments of the ...
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The Ordinary Least Squares Estimates
1986With the linearization of the basic model and its covariance matrix at hand we now start on the estimation of the components. We’ll do this by calculating the ordinary least squares estimates for our linear model, and by discussing what is meant by “estimable function” in our context.
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